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Research Fellow, Energy Analytics/Artificial Intelligence/Machine Learning/DER Management

Employer
NANYANG TECHNOLOGICAL UNIVERSITY
Location
Singapore
Closing date
22 Dec 2020

Job Details

Energy Research Institute @ NTU invites applications for the position of Research Fellow.

Key Responsibilities:

  • Design and develop deep learning/AI-powered DER analytics & renewable energy/price/load forecasting tools VPP operation
  • Interval forecasting for sources & load forecasting tools suited to small geographical areas (e.g., at the level of customers or aggregation areas) to capture the uncertainty, and adequately addressing the requirements of robust/stochastic optimization formulations
  • Research into state-of-the-art solutions in AI-powered DER analytics, deep learning architectures, and generate innovative ideas that can be implemented for VPP management
  • Be a hands-on technologist and domain/industry expert in commercial solution development, system integration & implementation
  • Be an R&D team lead to define & achieve the project goals
  • Work closely with researchers, developers, partners and/or external vendors for timely project delivery
  • Any other ad-hoc duty or responsibility; e.g., project presentation, progress report preparation, procurement and research collaborations etc. assigned by the project supervisor

Job Requirements:

  • PhD degree in Electrical and Electronics Engineering or Computer Science/Engineering, specialized in Energy Analytics/Artificial Intelligence/Machine Learning/DER management
  • Solid knowledge and experience in Artificial Intelligence/Reinforcement Learning-based analytics & forecasting for distribution resource operations and energy management
  • Proven skills in Machine Learning (Supervised/Unsupervised/Semi-supervised/Reinforcement Learning); e.g., linear/logistics regression discriminant analysis, bagging, Support Vector Machine (SVM), Random Forest (RF), Bayesian model, neural networks, etc
  • Programming languages (e.g., R, Python) in view of the abovementioned analytical concepts and techniques
  • Strong skills in the use of one or more of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, Pandas, Numpy, TensorFlow and Spark, etc
  • Excellent verbal and written communication skills in English
  • Strong analytical and conceptual abilities
  • Able to work independently and in a team to realize the proposed works

We regret that only shortlisted candidates will be notified.

Company

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is placed 11th globally, and 1st among the world's top young universities for six consecutive years (QS university rankings). It is also ranked No.2 among the world's elite young universities (aged 50 and under) that have excelled in producing high-quality research (Nature Index Young Universities).


We invite you to be part of this world-class university through the prestigious Lee Kuan Yew Postdocotoral Fellowship programme. 

About Lee Kuan Yew Postdoctoral Fellowship (LKY PDF)

The prestigious Lee Kuan Yew Postdoctoral Fellowship (LKY PDF) was established in 1991 under the Lee Kuan Yew Endowment Fund. The Fellowship supports and promotes young and outstanding researchers to realise their full potential in the areas of Engineering, Science, Humanities, and Medicine.

The Fellowship will be awarded concurrently with the candidate's appointment as a research staff in NTU.

Please click here for the detailed list of research areas available in the respective Colleges/Schools/Research Centres.

Eligibility: 

• Excellent academic records and research potential.
• Recent PhD graduates, or with at most 1 postdoctoral training from a reputable university. 

Terms and Conditions: 
• The Fellowship will be tenable for a period of 3 years.  
• In addition to an attractive remuneration, the successful candidate will be awarded a research grant of S$180,000 for research consumables and research related expenditure. 

Application Procedure:

Please click here for more information.

We regret to inform that only shortlisted candidates will be notified. 

Application Closing Date: 28 February 2020

Company info
Telephone
+(65)67911744
Location
50 NANYANG AVENUE
SINGAPORE
639 798
SG

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